Patient Ranker

Healthcare facilities spend a large amount of time attempting to get a hold of patients. Patients are liable to cancel appointments, fail to respond in a timely fashion, and take other actions that can generally lower a facility's efficiency in filling schedules.

Patient Ranker is a customizable library that provides a framework for ranking the patients' likelihood of accepting appointments based on historical data.

It accepts patient historical data and outputs a ranked list of the patients most likely to respond.

Prerequisites

This library was built on Node v8.6.0.

It is written in ES6, meaning you must run it with esm for it to run properly.

$ node -r esm {your project}

Getting Started

First, install the library.

$ npm install @jahmezz/patient-ranker

Import the RankGenerator module into your project. Then, Load your patient data as JSON.

import RankGenerator from '@jahmezz/patient-ranker/RankGenerator'
let patientRanker = new RankGenerator();
patientRanker.loadPatientData({your patient data});

Then, request a list of patients using patientRanker.fetchBestPatients(facilityLocation).

This function accepts an object containing latitude and longitude. The output is a sorted array of the patients most likely to accept an appointment offer.

Input

let facilityLocation = {
    "latitude": "68.8129",
    "longitude": "71.3018"
}
let bestPatients = patientRanker.fetchBestPatients(facilityLocation);
console.log("Score: " + bestPatients[0].score);
console.log("ID: " + bestPatients[0].entry.id);
console.log("Name: " + bestPatients[0].entry.name);

Output

Score: 9.26
ID: 9902ce99-e4aa-434b-a5b5-49f2ae156391
Name: Laurine Kshlerin

An index.js is included with the project that you can run and review as an interactive demo.

$ node -r esm index.js

Running the tests

Run the following command:

$ npm test

The test suite consists of unit tests ensuring the functions in this library work properly.

Versioning

We use SemVer for versioning. For the versions available, see the tags on this repository.

Authors

• James Kahng - Initial work - jahmezz

License

This project is licensed under the MIT License - see the LICENSE.md file for details

Acknowledgments

• Much inspiration drawn from Akash's solution to the interview question.